I'm drawn to questions of how much useful information can be extracted from difficult data. This puts me in and around the intersection of a few research areas including Bayesian analysis, partial identification, causal inference, measurement error, and evidence synthesis. Many of the motivations for, and applications of, my work arise in epidemiology, public health, and biostatistics.